This is a shout-out to those of you who would like to learn more about statistics, inference and probabilities using R, a free, open-source high-level mathematical language. Those who have been following this blog and Climate Audit will know that R is used by Steve McIntyre and others to great effect.
The course is called “Explore Statistics with R” and its going to be run by the Karolinska Institutet in Sweden (the course is in English) starting 9th September for 5 weeks.
The course will be using health data as the discussed dataset but the skills have obviously wider application than that.
Skilled persons who can process and analyze data are in great demand today. In this course you will explore concepts in statistics that help you make sense out of data. You will learn the practical skills necessary to find, import, analyze and visualize data. We will take a look under the hood of statistics and equip you with broad tools for understanding statistical inference and statistical methods. You will also get to perform some really complicated calculations and visualizations, following in the footsteps of Karolinska Institutet’s researchers.
In this course you will learn the basics of R, a powerful open source statistical programming language. Why has R become the tool of choice in bioinformatics, the health sciences and many other fields? One reason is surely that it’s powerful and that you can download it for free right now. But more importantly, it’s supported by an active user community. In this course you will learn how to use peer reviewed packages for solving problems at the frontline of health science research. Commercial actors just can’t keep up implementing the latest algorithms and methods. When algorithms are first published, they are already implemented in R. Join us in a gold digging expedition. Explore statistics with R.
There are 22000 students already enrolled, so there are bound to be plenty of people who are beginners as well as those more mathematically gifted.
If this follows the pattern of other MOOCs then there won’t be 22000 students by the end, but those who persist will be much better informed especially about the methods used by some scientists. ;-)
Join up at http://edx.org and enroll from there on the course.
You don’t have to complete everything, although there is a certificate for those who score sufficiently highly.